Intel Chip Chat

Intel Chip Chat

By Intel CorporationTechnology
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Intel Chip Chat episodes

  • The Next Step in Confidential Computing with Google Cloud - Intel® Chip Chat episode 634
    In this episode of Chip Chat, Nelly Porter, Senior Product Manager for Google Cloud, joins us to discuss Confidential Computing and why Google is delivering this service to its customers. Nelly talks about the key drivers for Google’s Cloud strategy and how everything they do takes security, privacy and control into account to bring better protections to customers. Google announced an open source framework in May 2018 called Asylo, to make it easier to create and use enclaves on Google Cloud. Nelly also talks about Google’s collaboration with Intel around hardening their cloud infrastructure with Intel® Software Guard Extensions (Intel® SGX). Google Cloud, in collaboration with Intel, is hosting the Confidential Computing Challenge to generate new ideas in the future of computing. Learn more and join the challenge: https://cloudplatformonline.com/Confidential-Computing-Challenge-2019-Reg.html
    Intel technologies' features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No product or component can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com.
    Intel and the Intel logo are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.
    *Other names and brands may be claimed as the property of others.
    © Intel Corporation
    14 min
  • Game-Changing Memory Technology for the Data Center - Intel® Chip Chat episode 633
    Learn about the operating mode capabilities included with Intel® Optane™ DC Persistent Memory: memory mode and app direct mode. Kristie Mann, Product Line Director for Intel Optane DC Persistent Memory in Intel’s Data Center Group, talks about the innovative capabilities of Intel Optane DC Persistent Memory and the key benefits of its two operating modes. For more information: http://intel.com/optanedcpersistentmemory
    Intel technologies' features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No product or component can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com.
    Intel, the Intel logo, and Optane are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.
    *Other names and brands may be claimed as the property of others.
    © Intel Corporation
    9 min
  • Game-Changing Memory Technology for the Data Center - Intel® Chip Chat episode 633
    Learn about the operating mode capabilities included with Intel® Optane™ DC Persistent Memory: memory mode and app direct mode. Kristie Mann, Product Line Director for Intel Optane DC Persistent Memory in Intel’s Data Center Group, talks about the innovative capabilities of Intel Optane DC Persistent Memory and the key benefits of its two operating modes. For more information: http://intel.com/optanedcpersistentmemory
    Intel technologies' features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No product or component can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com.
    Intel, the Intel logo, and Optane are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.
    *Other names and brands may be claimed as the property of others.
    © Intel Corporation
    9 min
  • Accelerating AI Inference with Intel® Deep Learning Boost – Intel® Chip Chat episode 632
    When Intel previewed an array of data-centric innovations in August 2018, one that captured media attention was Intel® Deep Learning Boost, an embedded AI accelerator in the CPU designed to speed deep learning inference workloads.
    Intel DL Boost will make its initial appearance in the upcoming generation of Intel® Xeon® Scalable processors code-named Cascade Lake. In this Chip Chat podcast, Intel Data-centric Platform Marketing Director Jason Kennedy shares details about the optimization behind some impressive test results.
    The key to Intel DL Boost – and its performance kick – is augmentation of the existing Intel® Advanced Vector Extensions 512 (Intel® AVX-512) instruction set. This innovation significantly accelerates inference performance for deep learning workloads optimized to use vector neural network instructions (VNNI). Image classification, language translation, object detection, and speech recognition are just a few examples of workloads that can benefit.
    Early tests have shown image recognition 11 times faster using a similar configuration than with current-generation Intel Xeon Scalable processors when launched in July 2017. Current projections estimate 17 times faster inference throughput benefit with Intel® Optimized Caffe ResNet-50 and Intel Deep Learning Boost that can be achieved with a new class of advance performance CPUs debuting in the upcoming generation.
    For more information about AI activities across Intel visit ai.intel.com.
    Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more information go to www.intel.com/benchmarks.
    Performance results are based on testing or projections as of 6/2017 to 11/7/2018 and may not reflect all publicly available security updates. See configuration disclosures in https://intel.ly/2Mw7KKE and https://intel.ly/2VUvY2I for details. No product can be absolutely secure.
    [1] Future Intel Xeon Scalable processors codenamed Cascade Lake provide up to 11x inference performance with Intel® Optimized Caffe, ResNet-50, and Intel® Deep Learning Boost (VNNI) in comparison to current generation Intel Xeon Scalable Platinum 8180 Processor with FP32 instructions (at launch, measured July, 2017), for details see https://intel.ly/2Mw7KKE, slide 33.
    [2] Future Intel Xeon Scalable processors codenamed Cascade Lake advanced performance provide up to 17x images per second (deep learning inference) in comparison to current generation Intel Xeon Scalable Platinum 8180 Processor (at launch, measured July, 2017), for details see https://intel.ly/2VUvY2I.
    12 min
  • Accelerating AI Inference with Intel® Deep Learning Boost – Intel® Chip Chat episode 632
    When Intel previewed an array of data-centric innovations in August 2018, one that captured media attention was Intel® Deep Learning Boost, an embedded AI accelerator in the CPU designed to speed deep learning inference workloads.
    Intel DL Boost will make its initial appearance in the upcoming generation of Intel® Xeon® Scalable processors code-named Cascade Lake. In this Chip Chat podcast, Intel Data-centric Platform Marketing Director Jason Kennedy shares details about the optimization behind some impressive test results.
    The key to Intel DL Boost – and its performance kick – is augmentation of the existing Intel® Advanced Vector Extensions 512 (Intel® AVX-512) instruction set. This innovation significantly accelerates inference performance for deep learning workloads optimized to use vector neural network instructions (VNNI). Image classification, language translation, object detection, and speech recognition are just a few examples of workloads that can benefit.
    Early tests have shown image recognition 11 times faster using a similar configuration than with current-generation Intel Xeon Scalable processors when launched in July 2017. Current projections estimate 17 times faster inference throughput benefit with Intel® Optimized Caffe ResNet-50 and Intel Deep Learning Boost that can be achieved with a new class of advance performance CPUs debuting in the upcoming generation.
    For more information about AI activities across Intel visit ai.intel.com.
    Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more information go to www.intel.com/benchmarks.
    Performance results are based on testing or projections as of 6/2017 to 11/7/2018 and may not reflect all publicly available security updates. See configuration disclosures in https://intel.ly/2Mw7KKE and https://intel.ly/2VUvY2I for details. No product can be absolutely secure.
    [1] Future Intel Xeon Scalable processors codenamed Cascade Lake provide up to 11x inference performance with Intel® Optimized Caffe, ResNet-50, and Intel® Deep Learning Boost (VNNI) in comparison to current generation Intel Xeon Scalable Platinum 8180 Processor with FP32 instructions (at launch, measured July, 2017), for details see https://intel.ly/2Mw7KKE, slide 33.
    [2] Future Intel Xeon Scalable processors codenamed Cascade Lake advanced performance provide up to 17x images per second (deep learning inference) in comparison to current generation Intel Xeon Scalable Platinum 8180 Processor (at launch, measured July, 2017), for details see https://intel.ly/2VUvY2I.
    12 min
  • IBM Optimizing the Cloud for HPC Workloads - Intel® Chip Chat episode 631
    Director, Offering Management for Compute at IBM Cloud, Jay Jubran discusses why enterprises are choosing the cloud for their HPC workloads. IBM's new HPC-as-a-Service offering is powered by Intel® Xeon® Scalable processors as they offer the performance required to meet customers' needs.
    IBM Cloud is focused on innovative cloud capabilities and partnering with Intel to provide the best solution for their HPC customers. Learn more about IBM's HPC cloud offerings here: https://cloud.ibm.com/.
    IBM will be announcing their latest enterprise cloud offerings at IBM Think, February 12-15th 2019. Learn more about the agenda: https://www.ibm.com/events/think/.
    Successful Cloud Service Providers are staying ahead of the technology curve, not chasing it. Explore intel.com/csp.
    Intel technologies' features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No product or component can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com.
    Intel, the Intel logo, and Xeon are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.
    *Other names and brands may be claimed as the property of others.
    © Intel Corporation
    10 min
  • IBM Optimizing the Cloud for HPC Workloads - Intel® Chip Chat episode 631
    Director, Offering Management for Compute at IBM Cloud, Jay Jubran discusses why enterprises are choosing the cloud for their HPC workloads. IBM's new HPC-as-a-Service offering is powered by Intel® Xeon® Scalable processors as they offer the performance required to meet customers' needs.
    IBM Cloud is focused on innovative cloud capabilities and partnering with Intel to provide the best solution for their HPC customers. Learn more about IBM's HPC cloud offerings here: https://cloud.ibm.com/.
    IBM will be announcing their latest enterprise cloud offerings at IBM Think, February 12-15th 2019. Learn more about the agenda: https://www.ibm.com/events/think/.
    Successful Cloud Service Providers are staying ahead of the technology curve, not chasing it. Explore intel.com/csp.
    Intel technologies' features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No product or component can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com.
    Intel, the Intel logo, and Xeon are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.
    *Other names and brands may be claimed as the property of others.
    © Intel Corporation
    10 min
  • IBM Optimizing the Cloud for HPC Workloads - Intel® Chip Chat episode 631
    Director, Offering Management for Compute at IBM Cloud, Jay Jubran discusses why enterprises are choosing the cloud for their HPC workloads. IBM's new HPC-as-a-Service offering is powered by Intel® Xeon® Scalable processors as they offer the performance required to meet customers' needs.
    IBM Cloud is focused on innovative cloud capabilities and partnering with Intel to provide the best solution for their HPC customers. Learn more about IBM's HPC cloud offerings here: https://cloud.ibm.com/.
    IBM will be announcing their latest enterprise cloud offerings at IBM Think, February 12-15th 2019. Learn more about the agenda: https://www.ibm.com/events/think/.
    Successful Cloud Service Providers are staying ahead of the technology curve, not chasing it. Explore intel.com/csp.
    Intel technologies' features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No product or component can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com.
    Intel, the Intel logo, and Xeon are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.
    *Other names and brands may be claimed as the property of others.
    © Intel Corporation
    10 min
  • Architected for HPC, AI, and IaaS Leadership Performance - Intel® Chip Chat episode 630
    Jennifer Huffstetler, VP and GM for Data Center Product Management at Intel, joins Chip Chat for a deep dive into the capabilities of a new class of processors: future Intel® Xeon® Scalable processors codenamed Cascade Lake advanced performance. Architected to deliver performance leadership across the widest range of demanding workloads[1], future Intel Xeon Scalable processors codenamed Cascade Lake advanced performance deliver unprecedented memory bandwidth[2] with more memory channels than any other CPU. These processors are expected to offer superior performance (results estimated based on pre-production hardware) in comparison to AMD EPYC on many demanding applications including:
    • Physics -- MILC up to 1.5X [quantum chromodynamics] [3]
    • Weather – WRF up to 1.6X [weather research and forecasting model] [4]
    • Manufacturing – OpenFOAM up to 1.6X [open source CFD] [5]
    • Life/material sciences – NAMD (APOA1) up to 2.1X [Nanoscale Molecular Dynamics] [6]
    • Energy – YASK (ISO3DFD) up to 3.1X [stencil benchmark] [7]
    For more information, please follow Jennifer on Twitter at https://twitter.com/jenhuffstetler and visit https://intel.com/hpc.
    Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more information go to www.intel.com/benchmarks.
    Performance results are based on testing or projections as of 6/2017 to 11/7/2018 and may not reflect all publicly available security updates. See configuration disclosure in https://intel.ly/2VUvY2I for details. No product can be absolutely secure.
    [1] Performance leadership across the widest array of demanding workloads based on https://intel.ly/2VUvY2I.
    [2] Native DDR memory bandwidth.
    [3] Future Intel Xeon Scalable processors codenamed Cascade Lake advanced performance provide up to 1.5x MILC performance in comparison to AMD EPYC 7601 (2S configuration), for details see https://intel.ly/2VUvY2I.
    [4] Future Intel Xeon Scalable processors codenamed Cascade Lake advanced performance provide up to 1.6x WRF performance in comparison to AMD EPYC 7601 (2S configuration), for details see https://intel.ly/2VUvY2I.
    [5] Future Intel Xeon Scalable processors codenamed Cascade Lake advanced performance provide up to 1.6x OpenFOAM performance in comparison to AMD EPYC 7601 (2S configuration), for details see https://intel.ly/2VUvY2I. Data collected with OpenFOAM® Foundation v5.0. This offering is not approved or endorsed by OpenCFDLimited, producer and distributor of the OpenFOAM software via www.openfoam.com, and owner of the OPENFOAM® and OpenCFD® trademarks.
    [6] Future Intel Xeon Scalable processors codenamed Cascade Lake advanced performance provide up to 2.1x NAMD (APOA1) performance in comparison to AMD EPYC 7601 (2S configuration), for details see https://intel.ly/2VUvY2I.
    [7] Future Intel Xeon Scalable processors codenamed Cascade Lake advanced performance provide up to 3.1x YASK (ISO3DFD) performance in comparison to AMD EPYC 7601 (2S configuration), for details see https://intel.ly/2VUvY2I.
    8 min
  • For Lunar Exploration, Intel AI Can Help Where GPS Can’t – Intel® Chip Chat episode 629
    With no GPS in space, how can a rover know its exact location on a lunar surface?
    In this Chip Chap podcast, Phil Ludivig, rover navigation engineer with iSpace, Inc.* joins Shashi Jain, innovation manager at Intel, to talk about research that applied AI to one of the biggest challenges in space exploration.
    Ludivig and Jain, along with other researchers, came together at NASA Frontier Development Lab (NASA FDL) to tackle questions facing NASA and the commercial space industry. Their team took on one of the most fundamental – and answered it a highly inventive way.
    Starting with a game engine, the team created a simulated lunar environment to train an AI algorithm that produced the ground truth needed for machine learning. Next, they created synthetic images, called reprojections, from cameras mounted on a rover. AI matched reprojected images to actual orbital images, figuring out terrain features that made sense.
    The team used Intel® AI DevCloud for inference, an Intel Core™ i7+ PC and Intel Xeon® Scalable processor-based server for synthetic training data generation, and Google* Cloud Platform for training.
    The same technique can be applied anywhere, on Mars or even areas of Earth where GPS is out of reach.
    For details about this and other NASA FDL projects, visit frontierdevlopmentlab.org.
    Information about Phil Ludivig’s organization is online at ispace-inc.com.
    More about AI at Intel is available at intel.com/ai.
    Intel technologies' features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration No product or component can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com.
    Intel, the Intel logo, Core, and Xeon are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.
    *Other names and brands may be claimed as the property of others.
    © Intel Corporation
    15 min

About Intel Chip Chat

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Intel Chip Chat is a recurring podcast series of informal interviews with some of the brightest minds in the industry, striving to bring listeners closer to the innovations and inspirations of the…